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Basic Research in Cardiology

, Volume 76, Issue 2, pp 182–188 | Cite as

Methods of frequency-correction for systolic time intervals

  • G. K. Wolf
  • G. G. Belz
Original Contributions

Summary

To judge the influence of drugs and diseases on systolic time intervals (STI), the connection to the covariate belonging to heart frequency has to be eliminated. For this purpose, we adopt linear dependency of the interval between the R-waves in the ECG and STI. In this paper, according to different medical questions, wellfitting correction formulae are derived, based on new biometric analysis of published data.

The methods used include L1-norm and L2-norm regression, rank-test connected regression of Theil and Sen, and rank-scores analysis of covariance.

It is concluded that the biometric methods must be well adapted to medical methods.

Key words

systolic time intervals R-R interval linear dependency diagnostics clinical trials 

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Copyright information

© Dr. Dietrich Steinkopff Verlag 1981

Authors and Affiliations

  • G. K. Wolf
    • 1
  • G. G. Belz
    • 1
  1. 1.Institut f. Med. DokumentationStatistik und Datenverarbeitung der Universität HeidelbergHeidelberg

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